Instabase adds deep learning to make sense of unstructured data

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Whether they realize it or not, most ventures are sitting on a mountain of invaluable, yet useless, data. Buried deep within PDFs, customer emails and scanned documents is a treasure trove of business intelligence and insights that often have the ability to report critical business decisions – if only they could be deleted and used, i.e.

Instabase hopes that some good, old-fashioned AI will help businesses take advantage of unstructured data. Today, the business automation platform provider is announcing a set of new deep learning-based tools designed to help enterprises more easily extract and understand this unstructured data and to create applications that will help them use it all.

Anant Bhardwaj, founder and CEO of Instabase, says, “Unlocking unstructured data, which is 80% of all enterprise data, is an extremely difficult problem due to the variability of the data.” “Deep learning algorithms provide more accuracy because the algorithm learns from the completeness of each training document and identifies many different features to make its decision, just like a human does.”

Instabase’s new Deep Learning features offer low-code and no-code functionality designed to allow Instabase customers to tap into state-of-the-art deep learning models and train, operate and use these models for their business needs. Using the drag-and-drop visual development interface, Instabase customers can create customized workflows and business applications powered by best-in-class deep learning models.

Bhardwaj explains, “These deep learning models have already been trained on a very large set of data and as a result, fewer samples are needed to fine-tune the model for a specific use case.” “This means that the enterprise can deal with use cases that have never been possible before, creating solutions for their unstructured data usage cases quickly and with unprecedented accuracy.”

Founded in 2015, Instabase uses technologies such as optical character recognition and natural language processing to extract and decrypt data that are often buried in formats that can be difficult for machines to understand. Platform providers, whose clients include companies in the financial services, medical and insurance industries, hope that by tapping this unorganized data, they can help companies automate their further business processes, report key decisions and advance their own digital transformation. Is.

With the addition of its new Deep Learning Infrastructure, Instabase hopes to make this unstructured data analysis faster and more efficient. Using the platform’s machine learning studio, Instabase customers can critique data points within documents and spin and train custom models, which can then be used by others in the organization. New features also include model catalogs, which provide plug-and-play access to a library of deep learning models created by Instabase and other providers.

The platform’s new deep learning features will be publicly available in early 2022.


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